Gather all your data in one place and get lightning fast analytics

All your data sources aggregated, easily queryable, & connected to any BI tool in just minutes

Data upload in minutes

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Data analytics at the speed of your business

Features Include:

You won’t find an easier, more useful data warehouse dashboard than ours

Panoply’s dashboard gives you full transparency into your data pipeline. You can monitor all your data sources, saved
queries, and connected BI tools in one place and easily schedule data uploads, right from the dashboard, to make sure
you’re never using stale data. You can even assign Admin rights and teams for specific databases for better governance controls.

Get tables that are clean, clear and easy to query

Panoply automates the modeling schema so you don’t have to spend endless hours on reindexing the data.

Instantly upload data from any cloud source, database or file

Whether your data is structured or not - including file types CSV, TSV, XML, JSON, and regardless of the data cloud
service APIs or marketing tools you use - such as Google Analytics, you can pull in all your data into one streamlined,
smart data warehouse.

Panoply connects your data to any BI tool

Seamlessly connect to any business intelligence tool you need to help you visualize or analyze your data in just minutes,
so you can right away export and share valuable insights across your organization.

Panoply runs on SQL

It’s easy and simple to transform data using simple SQL in Panoply’s built-in SQL workbench for queries to get your
analytics done quickly and efficiently. Don’t know SQL? No problem, you can just connect your data to a visualization BI tool.

Optimize your queries

Panoply learns as you use it - saving and caching your queries, and optimizes them to save you time across all your
data analytics reporting tasks. Similarly, it adapts server configurations to accommodate greater scalability to solve
the issue of concurrency, which means your queries will get results fast even if others are running queries at the
same time.

Data engineering in a box

Panoply is like having a personal data engineer and data base administrator on hand 24/7. It does the heavy lifting
for you by automatically backing-up and sorting all your uploaded data neatly and clearly into tables and node clusters
so you and your data engineering team don’t spend hours on data transformation, re-indexing, and schema modeling.

All the help you'll ever need

Panoply offers FAQs, how-to documentation, in-product chat, a friendly community of Panoply users, and even our very
own Data Architects that you can use should you need any help.

Be self-reliant

Easily upload data yourself, no need for savvy tech skills, ETL or engineering resources - you don’t even need to know SQL
to get started, in fact almost 75% of our clients are non-technical. Panoply does all the heavy lifting for you thanks
to our data warehouse automation engine.

“A great way to manage your data.”

- Natasha S, Marketing Ops Manager

All your data together at last

Panoply automates the ingestion of any diverse data sources and makes tables clear, configurable, and immediately queryable.
It also seamlessly connects you to any BI tool you need so you can start visualizing, analyzing, and sharing data insights
in just minutes.

“As the lead analyst on a small startup team where data is imperative to our success, Panoply has been incredible."

- Justin M, Data Analyst

No more hanging queries

We’ve accelerated and optimized the querying process with machine learning. Panoply saves you precious time and resources,
and makes sure your data is up-to-date and ready to be shared.

“Easy, fast and reliable”

- Vitali M, Head of R&D

Secure & Reliable

Secure, stable, and reliable infrastructure

As with any AWS cloud-hosted solution, responsibility for security is shared between Panoply and AWS.

Data integration

Panoply can ingest data from over 100 data integrations, including databases, APIs, file systems and Panoply's SDK for
pushing data from any current and future data source into Redshift, which is all done through Panoply.

Automates data source connections

Seamlessly connects to third party SaaS API's

Easily connects to the most common storage services

Build your own data source connection with Panoply’s SDK

Data schema modeling

Adaptive schema changes at real time along with the data. You don't need any prior knowledge and changes are seamless.
Just load data in, everything else is automatic.

Data types are automatically discovered and a schema is generated based on the initial data structure

Likely relationships between tables are automatically detected and used to model a relational schema

Slowly-changing tables are automatically generated

Aggregations are automatically generated

Table history feature allows you store data uploaded from API data sources so you can compare and analyze data from different
time periods

Automated data transformation

Panoply automatically performs common transformations, including the identification of structures & semi-structured data
formats like CSV, TSV, JSON, XML, and many log formats – and immediately flattens nested structures like lists and objects.
Structured data can also be transformed into different tables with a one-to-many relationship.

Common data formats are identified automatically, and parsed accordingly

Compressed files are discovered and extracted

Nested structures can be either flattened or placed into a sub-table

Enhancement modules are automatically applied to the data

Query Performance Optimization

Panoply automatically reindexes the schema and performs a series of optimizations on the queries and data structure to
improve runtime based on your usage.

Remodelling through continuous optimization

Panoply offers several tools for automated maintenance of your analytical infrastructure, but also provides transparency
and full control over all processes, enabling you to apply changes manually when needed.

Panoply automatically identifies columns used for joins, and re-distributes the data across nodes to improve data locality
and join performance

View materialization and query caching

Panoply utilizes statistical algorithms to inspect query and dashboard runtime over selected data to constantly look
for ways to optimize query performance. For example, popular queries and views are automatically cached and materialized.

Concurrency

Multi-cluster replication allows the compartmentalization of storage and compute. The number of available clusters scales
with the number of users and the intensity of the workload, supporting hundreds of parallel queries that are load balanced
between clusters.

Connect to any business intelligence tools

Panoply exposes a standard JDBC/ODBC endpoint with ANSI-SQL support to allow instant, seamless connection to any visualization
or business intelligence tool, such as Chartio, Looker, and Tableau.

Storage optimization

Panoply is constantly running periodic processes to mark the data and optimize the storage based on your usage. Full
and incremental backups are automated so you don't have to schedule them.

Scaling up and down the cluster

Panoply automatically scales up and down based on the data volume. Scaling happens automatically behind the scenes, keeping
your clusters available for both reads and write, and thus ingestion can continue uninterrupted. When the scaling is
complete, the old and new clusters are swapped instantly.

Automated maintenance

Panoply automates the vacuuming and compressing of tables to help improve Redshift database performance, continuously
analyzes tables to better utilize the queries its receiving, and give you fresh metadata.